Gabor representations present a number of interesting properties despite the fact that the
basis functions are nonorthogonal and provide an overcomplete representation or a …

We consider lossless compression of digital contours in map images. The problem is
attacked by the use of context-based statistical modeling and entropy coding of the chain …

Several drawbacks of critically sampled wavelets can be solved by overcomplete
multiresolution transforms and sparse approximation algorithms. Facing the difficulty to …

Efficient sparse coding of overcomplete transforms remains still an open problem. Different
methods have been proposed in the literature, but most of them are limited by a heavy …

The present thesis aims at investigating parallelisms between the functional architecture of
primary visual areas and image processing methods. A first objective is to refine existing …

High quality digitized images have always been subject to high correlation: high image
quality equals large file size. Image Compression is an important issue in Internet, mobile …

We present here a sparse coding algorithm dedicated exclusively to overcomplete Gabor
wavelets and based on perceptual contour extraction methods. The algorithm has reduced …

During the past decades we have been observing a permanent increase in image data,
leading to huge repositories.[1]. This paper focuses on image compression and storage. We …

Simple cells modeling through a sparse overcomplete Gabor wavelet representation based
on local inhibition and facilitation Rafa Page 1 Simple cells modeling through a sparse …

Digital camera is the main medium for digital photography. The basic operation performed
by a simple digital camera is, to convert the light energy to electrical energy, then the energy …